Brantley Bell

Pos3B

B/TR/R

Born1994-11-16

Age (2027)32

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2024

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2021	26	AAACIN	264	.199/.279/.267	1	8	27	—	.178/.225/.239
2023	28	AASD	108	.232/.290/.354	1	6	24	—	.168/.215/.257
2024	29	INTLSenadores de …	142	.206/.262/.321	3	10	64	—

Contract

No contract data on file.

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how these numbers are built

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve.

Year	Age	Lvl	Team	MLB%	PA	AB	H	2B	3B	HR	BB	SO	HBP	SB	CS	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2015	20	ROK	Billings Mustangs	—	261	229	63	16	2	0	25	58	3	14	6	275	354	362	717	87	366	22	10	322	41	—	—	—	—	—	—
2016	21	A	Dayton Dragons	—	458	412	102	16	3	1	33	103	6	23	9	248	313	308	621	61	326	22	7	282	36	—	—	—	—	—	—
2017	22	A+	Daytona Tortugas	—	241	215	48	6	0	1	9	51	9	14	2	223	283	265	548	42	278	21	4	248	38	—	—	—	—	—	—
2017	22	A	Dayton Dragons	—	256	229	55	13	1	2	21	72	3	15	5	240	312	332	644	92	335	28	8	291	34	—	—	—	—	—	—
2017	22	INTL	Scottsdale Scorpions	—	67	65	14	3	0	0	2	25	0	3	1	215	239	262	500	46	350	37	3	227	40	—	—	—	—	—	—
2018	23	A+	Daytona Tortugas	—	448	407	102	21	3	7	31	75	5	21	5	251	312	369	680	118	290	17	7	303	52	—	—	—	—	—	—
2019	24	AA	Chattanooga Lookouts	—	398	358	87	19	0	6	30	63	7	10	5	243	314	346	660	103	278	16	8	299	47	—	—	—	—	—	—
2021	26	AAA	Louisville Bats	—	264	236	47	9	2	1	24	59	2	8	2	199	279	267	546	68	260	22	9	253	27	—	—	—	—	—	—
2023	28	AA	San Antonio Missions	—	108	99	23	9	0	1	7	36	1	6	3	232	290	354	643	121	349	33	6	287	24	—	—	—	—	—	—
2024	29	INTL	Senadores de San Juan	—	142	131	27	4	1	3	8	25	2	10	2	206	262	321	583	115	233	18	6	262	64	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2015	20	ROK MLE	Billings Mustangs	—	261	239	48	11	1	0	15	84	3	14	6	201	257	255	512	54	300	32	6	229	41	—	—	—	—	—	—
2016	21	A MLE	Dayton Dragons	—	458	423	86	13	2	1	22	142	6	23	9	203	253	251	503	47	294	31	5	222	36	—	—	—	—	—	—
2017	22	A+ MLE	Daytona Tortugas	—	241	217	45	6	0	1	7	73	9	14	2	207	262	249	511	41	273	30	3	224	38	—	—	—	—	—	—
2017	22	A MLE	Dayton Dragons	—	256	238	45	10	1	1	12	100	3	15	5	189	237	252	489	63	303	39	5	219	34	—	—	—	—	—	—
2018	23	A+ MLE	Daytona Tortugas	—	448	416	86	17	2	6	22	103	5	21	5	207	255	300	556	94	255	23	5	245	52	—	—	—	—	—	—
2019	24	AA MLE	Chattanooga Lookouts	—	398	367	74	14	0	5	21	80	7	10	5	202	258	281	539	79	238	20	5	238	47	—	—	—	—	—	—
2021	26	AAA MLE	Louisville Bats	—	264	247	44	8	2	1	13	75	2	8	2	178	225	239	464	61	247	28	5	208	27	—	—	—	—	—	—
2023	28	AA MLE	San Antonio Missions	—	108	101	17	6	0	1	5	44	1	6	3	168	215	257	472	89	273	41	5	203	24	—	—	—	—	—	—
2015	20	ROK MLE	Billings Mustangs	—	261	239	48	11	1	0	15	84	3	14	6	201	257	255	512	54	308	32	6	229	41	—	—	—	—	—	—
2015	20	ROK RAW	Billings Mustangs	—	261	229	63	16	2	0	25	58	3	14	6	275	354	362	717	87	366	22	10	322	41	—	—	—	—	—	—
2016	21	A MLE	Dayton Dragons	—	458	423	86	13	2	1	22	142	6	23	9	203	253	251	503	47	301	31	5	222	36	—	—	—	—	—	—
2016	21	A RAW	Dayton Dragons	—	458	412	102	16	3	1	33	103	6	23	9	248	313	308	621	61	326	22	7	282	36	—	—	—	—	—	—
2017	22	A MLE	3 teams	—	564	519	101	18	1	2	22	196	12	32	8	195	244	245	489	50	300	35	4	221	36	—	—	—	—	—	—
2017	22	A RAW	3 teams	—	564	509	117	22	1	3	32	148	12	32	8	230	291	295	586	65	311	26	6	265	36	—	—	—	—	—	—
2018	23	A+ MLE	Daytona Tortugas	—	448	416	86	17	2	6	22	103	5	21	5	207	255	300	556	94	258	23	5	245	52	—	—	—	—	—	—
2018	23	A+ RAW	Daytona Tortugas	—	448	407	102	21	3	7	31	75	5	21	5	251	312	369	680	118	290	17	7	303	52	—	—	—	—	—	—
2019	24	AA MLE	Chattanooga Lookouts	—	398	367	74	14	0	5	21	80	7	10	5	202	258	281	539	79	243	20	5	238	47	—	—	—	—	—	—
2019	24	AA RAW	Chattanooga Lookouts	—	398	358	87	19	0	6	30	63	7	10	5	243	314	346	660	103	278	16	8	299	47	—	—	—	—	—	—
2021	26	AAA MLE	Louisville Bats	—	264	247	44	8	2	1	13	75	2	8	2	178	225	239	464	61	250	28	5	208	27	—	—	—	—	—	—
2021	26	AAA RAW	Louisville Bats	—	264	236	47	9	2	1	24	59	2	8	2	199	279	267	546	68	260	22	9	253	27	—	—	—	—	—	—
2023	28	AA MLE	San Antonio Missions	—	108	101	17	6	0	1	5	44	1	6	3	168	215	257	472	89	281	41	5	203	24	—	—	—	—	—	—
2023	28	AA RAW	San Antonio Missions	—	108	99	23	9	0	1	7	36	1	6	3	232	290	354	643	121	349	33	6	287	24	—	—	—	—	—	—
2024	29	INTL MLE	Senadores de San Juan	—	142	131	27	4	1	3	8	25	2	10	2	206	262	321	583	115	233	18	6	—	—	—	—	—	—	—	—
2024	29	INTL RAW	Senadores de San Juan	—	142	131	27	4	1	3	8	25	2	10	2	206	262	321	583	115	233	18	6	262	64	—	—	—	—	—	—
2015	20	ROK MLE	Billings Mustangs	—	261	241	48	11	1	0	15	84	3	14	6	199	257	253	510	54	300	32	6	229	41	—	—	—	—	—	—
2016	21	A MLE	Dayton Dragons	—	458	427	86	13	2	1	22	142	6	23	9	201	253	248	501	47	294	31	5	222	36	—	—	—	—	—	—
2017	22	A MLE	3 teams	—	564	525	101	18	1	2	22	196	12	32	8	192	244	242	486	50	288	35	4	221	36	—	—	—	—	—	—
2018	23	A+ MLE	Daytona Tortugas	—	448	418	86	17	2	6	22	103	5	21	5	206	255	299	554	93	255	23	5	245	52	—	—	—	—	—	—
2019	24	AA MLE	Chattanooga Lookouts	—	398	367	74	14	0	5	21	80	7	10	5	202	258	281	539	79	238	20	5	238	47	—	—	—	—	—	—
2021	26	AAA MLE	Louisville Bats	—	264	247	44	8	2	1	13	75	2	8	2	178	225	239	464	61	247	28	5	208	27	—	—	—	—	—	—
2023	28	AA MLE	San Antonio Missions	—	108	101	17	6	0	1	5	44	1	6	3	168	215	257	472	89	273	41	5	203	24	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	2643	2443	483	91	9	19	128	749	38	124	40	198	249	266	514	68	274	28	5	215	32	-215	+9	+0	+9	+57	-14.3
/ 162G	—	MLE		—	650	601	119	22	2	5	31	184	9	30	10	198	248	266	514	68	273	28	5	215	32	-53	+2	+0	+2	+14	-3.5

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2023 AASan Antonio Missions · 108 PAwOBA .282 → .203 (−79)K% 33.3% → 41.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	33.33%	÷0.987	×1.220	—	—	41.21%
BB% (unintentional) /PA	6.48%	÷0.927	×0.700	—	×0.958	4.69%
HBP% /PA	0.93%	—	×0.870	—	×0.958	0.77%
Singles /BIP	20.63%	÷0.986	×0.920	×0.953	×0.958	17.58%
Doubles /BIP	14.29%	÷1.116	×0.840	×0.953	×0.958	9.83%
Triples /BIP	0.00%	÷1.010	×0.940	×0.953	×0.958	0.00%
Home runs /BIP	1.59%	÷0.820	×0.800	—	×0.958	1.48%

Factors used: league row TL. Park (home-season share, regressed): HR 64, 1B 97, 2B 123, 3B 102, K 97, BB 85 — applied at half strength. Age: age 29 vs a level average of 24.8 → −4.2% on BB/HBP/hit rates (4.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.953.

Result: wOBA .282 → .203; ISO .121 → .083; BABIP .349 → .273. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2021 AAALouisville Bats · 264 PAwOBA .243 → .208 (−35)K% 22.3% → 28.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.35%	÷0.949	×1.200	—	—	28.26%
BB% (unintentional) /PA	7.95%	÷1.099	×0.690	—	×1.003	5.01%
HBP% /PA	0.76%	—	×0.940	—	×1.003	0.71%
Singles /BIP	19.77%	÷0.994	×0.930	×1.022	×1.003	18.98%
Doubles /BIP	5.08%	÷0.945	×0.830	×1.022	×1.003	4.58%
Triples /BIP	1.13%	÷0.900	×0.920	×1.022	×1.003	1.18%
Home runs /BIP	0.56%	÷1.088	×0.700	—	×1.003	0.36%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 118, 1B 99, 2B 89, 3B 80, K 90, BB 120 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.022.

Result: wOBA .243 → .208; ISO .068 → .059; BABIP .260 → .247. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2019 AAChattanooga Lookouts · 398 PAwOBA .292 → .238 (−54)K% 15.8% → 20.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.83%	÷0.967	×1.220	—	—	19.97%
BB% (unintentional) /PA	7.29%	÷0.949	×0.680	—	×0.998	5.21%
HBP% /PA	1.76%	—	×0.840	—	×0.998	1.47%
Singles /BIP	21.02%	÷0.974	×0.920	×0.950	×0.998	18.81%
Doubles /BIP	6.44%	÷1.160	×0.910	×0.950	×0.998	4.79%
Triples /BIP	0.00%	÷0.900	×0.880	×0.950	×0.998	0.00%
Home runs /BIP	2.03%	÷0.979	×0.800	—	×0.998	1.66%

Factors used: league row SL. Park (home-season share, regressed): HR 96, 1B 95, 2B 132, 3B 80, K 93, BB 90 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .292 → .238; ISO .103 → .080; BABIP .278 → .238. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2018 A+Daytona Tortugas · 448 PAwOBA .297 → .245 (−52)K% 16.7% → 23.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.74%	÷1.035	×1.420	—	—	22.97%
BB% (unintentional) /PA	6.70%	÷0.994	×0.750	—	×0.988	4.99%
HBP% /PA	1.12%	—	×0.930	—	×0.988	1.03%
Singles /BIP	21.39%	÷1.006	×0.920	×0.992	×0.988	19.17%
Doubles /BIP	6.33%	÷1.088	×0.960	×0.992	×0.988	5.47%
Triples /BIP	0.90%	÷1.047	×0.810	×0.992	×0.988	0.69%
Home runs /BIP	2.11%	÷1.058	×0.880	—	×0.988	1.73%

Factors used: league row FSL. Park (home-season share, regressed): HR 112, 1B 101, 2B 118, 3B 109, K 107, BB 99 — applied at half strength. Age: age 24 vs a level average of 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.992.

Result: wOBA .297 → .245; ISO .118 → .094; BABIP .290 → .255. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2017 ADayton Dragons · 256 PAwOBA .284 → .219 (−65)K% 28.1% → 38.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.12%	÷0.984	×1.360	—	—	38.86%
BB% (unintentional) /PA	7.42%	÷1.055	×0.690	—	×0.990	4.80%
HBP% /PA	1.17%	—	×0.780	—	×0.990	0.90%
Singles /BIP	24.84%	÷1.005	×0.920	×1.028	×0.990	23.14%
Doubles /BIP	8.28%	÷0.999	×0.830	×1.028	×0.990	7.00%
Triples /BIP	0.64%	÷1.150	×0.910	×1.028	×0.990	0.51%
Home runs /BIP	1.27%	÷1.168	×0.800	—	×0.990	0.86%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 134, 1B 101, 2B 100, 3B 130, K 97, BB 111 — applied at half strength. Age: age 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.028.

Result: wOBA .284 → .219; ISO .092 → .066; BABIP .335 → .303. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2017 A+Daytona Tortugas · 241 PAwOBA .248 → .224 (−24)K% 21.2% → 30.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.16%	÷0.996	×1.420	—	—	30.16%
BB% (unintentional) /PA	3.73%	÷0.964	×0.750	—	×0.998	2.90%
HBP% /PA	3.73%	—	×0.930	—	×0.998	3.47%
Singles /BIP	25.00%	÷0.981	×0.920	×1.050	×0.998	24.58%
Doubles /BIP	3.66%	÷1.009	×0.960	×1.050	×0.998	3.65%
Triples /BIP	0.00%	÷0.951	×0.810	×1.050	×0.998	0.00%
Home runs /BIP	0.61%	÷0.932	×0.880	—	×0.998	0.57%

Factors used: league row FSL. Park (home-season share, regressed): HR 86, 1B 96, 2B 102, 3B 90, K 99, BB 93 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .248 → .224; ISO .042 → .038; BABIP .278 → .273. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2016 ADayton Dragons · 458 PAwOBA .276 → .222 (−54)K% 22.5% → 31.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.49%	÷0.986	×1.360	—	—	31.03%
BB% (unintentional) /PA	7.21%	÷1.052	×0.690	—	—	4.73%
HBP% /PA	1.31%	—	×0.780	—	—	1.02%
Singles /BIP	26.54%	÷1.021	×0.920	×1.015	—	24.28%
Doubles /BIP	5.18%	÷0.966	×0.830	×1.015	—	4.52%
Triples /BIP	0.97%	÷1.150	×0.910	×1.015	—	0.78%
Home runs /BIP	0.32%	÷1.153	×0.800	—	—	0.22%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 131, 1B 104, 2B 93, 3B 130, K 97, BB 110 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.015.

Result: wOBA .276 → .222; ISO .061 → .047; BABIP .326 → .294. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2015 ROKBillings Mustangs · 261 PAwOBA .316 → .229 (−87)K% 22.2% → 32.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.22%	÷1.000	×1.440	—	—	32.00%
BB% (unintentional) /PA	9.58%	÷1.000	×0.610	—	×0.985	5.76%
HBP% /PA	1.15%	—	×0.720	—	×0.985	0.82%
Singles /BIP	26.32%	÷1.000	×0.820	×1.050	×0.985	22.32%
Doubles /BIP	9.36%	÷1.000	×0.720	×1.050	×0.985	6.97%
Triples /BIP	1.17%	÷1.000	×0.720	×1.050	×0.985	0.87%
Home runs /BIP	0.00%	÷1.000	×0.750	—	×0.985	0.00%

Factors used: league row PIO. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .316 → .229; ISO .087 → .061; BABIP .366 → .300. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .